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Industry Challenges
High labor input, yet efficiency remains challenging to ensure.
The tasks of receiving powdered materials, handling coil rolls, and others are physically demanding and performed frequently, leading to high work intensity and rapid team rotations. As a result, operational efficiency is significantly affected by fluctuations in workforce availability and condition.
Multiple process breakpoints and poor cycle-time coordination
Insufficient intermediate buffering leads to frequent "waiting" and "accumulation" in processes like roll pressing and slitting, severely disrupting the coordinated rhythm of the production line.
Dual requirements for high precision and safety
Materials like extreme coils and aluminum casings demand extremely high stability during handling—traditional manual methods often lead to drops and collisions, resulting in product damage.
Space-constrained, complex scenarios
The workshop corridor is narrow and features a wide variety of materials, making it challenging for traditional forklifts to balance safety and maneuverability, leading to scheduling chaos.
Products and Application Scenarios
Rompflag Technology leverages its independently developed industrial AI small-model digital platform to create intelligent logistics solutions tailored for the complex processes in the lithium-ion battery and energy storage industries. These solutions cover everything from raw material receiving and feeding in the upstream processes, to seamless, smart transfers between process stages in the midstream, and finally, automated delivery of auxiliary materials to the PACK production line in the downstream phase. This approach enables a transformative upgrade toward logistics automation, intelligence, and full unmanned operations in both cell manufacturing and module/complete-pack assembly processes.
In the photovoltaic sector, the solution covers all process stages—from raw material storage to module packaging—for core components such as silicon wafers, silicon ingots, photovoltaic glass, solar cells, and module assemblies. It seamlessly integrates with end-to-end operational scenarios, including silicon wafer transportation, module handling, production line coordination, post-production storage, and inter-warehouse logistics, enabling a fully automated, flexible, and unmanned upgrade of the PV manufacturing logistics system.
Raw material receiving and feeding into the previous process
Intelligent flow between process stages in the production line
Automated delivery of downstream process materials to the PACK production line
Key Highlights of the Plan
Covering logistics needs across the entire lithium battery manufacturing process
Modular design, tailored to adapt to diverse application scenarios and processes.
Robotics + AI micro-models power end-to-end unmanned operations
Significant cost reduction and efficiency gains, comprehensively supporting the factory in reducing workforce while boosting production.
Scheme Value
- Increased automation rate90%
- Improved unloading efficiency60%
- Reduced labor costs70%
- Goods damage rate0, workplace safety risks decrease
客户案例
A Leading New Energy Company's Coating-Rolling Section Automation Project
Application Content: OHT Overhead Crane System + WCS Integrated Control + MES Task Integration
Results: Achieved "zero-wait" material transfer, reducing labor costs by 70% and cutting material handover time from 15 minutes to just 3 minutes.
A leading-edge automated delivery system integrated into the production line for lithium batteries
Application Content: Material Storage & Pick System + Automated Unpacking Area + Overhead Conveying + AGV Transfer System
Results: Overall logistics response efficiency improved by 52%, while the material misplacement rate was reduced to just 0.03%, significantly enhancing cycle time stability and process continuity.
A super factory project for a leading global new energy company
Application scenarios: Cell production line logistics system + PACK process auxiliary material distribution + Finished product off-line system
Results: Automation rate exceeds 90%, workforce reduced by 65%, and finished-product shipping efficiency improved by 48%, setting a benchmark for a mature, replicable super-factory model.
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